Abstract

The grid has emerged as a novel paradigm that supports seamless cooperation of distributed, heterogeneous computing resources in addressing highly complex computing and data management tasks. A number of software technologies have emerged to enable "grid computing". However, their exact nature, underlying principles, requirements, and architecture are still not fully understood and remain under-specified. In this paper, we present the results of a study whose goal was to try to identify the key underlying requirements and shared architectural traits of grid technologies. We then used these requirements and architecture in assessing five existing, representative grid technologies. Our studies show a fair amount of deviation by the individual technologies from the widely cited baseline grid architecture. Our studies also suggest a core set of critical requirements that must be satisfied by grid technologies, and highlight a key distinction between "computational" and "data" grids in terms of the identified requirements.